Changes in the theory of interorganizational relations in marketing: Toward a network paradigm

The marketing environment in the 21st century promises to be knowledge rich and very turbulent. The classic, vertically integrated, multidivisional organization, so successful in the 20th century, is unlikely to survive in such an environment. The evidence indicates it will be replaced by new forms of network organization consisting of large numbers of functionally specialized firms tied together in cooperative exchange relationships. This article explores the characteristics of four types of network organization that may represent prototypes of the dominant organizations of the next century. These include the internal market network, the vertical market network, the intermarket network, and the opportunity network. The economic rationale and the types of coordination and control mechanisms driving network organizations are very distinct from those studied under the current exchange or dyadic paradigm. This article analyses the kinds of changes involved in key variables and their meanings in moving from a dyadic view of exchange to a network view. Prior to joining the faculty of The George Washington University in 1991, he was on the faculty of the University of Notre Dame. His areas of research interest include interorganization theory and marketing strategy. His articles have appeared in theJournal of Marketing, Journal of Marketing Research, Social Science Research, Journal of Business Strategy, Journal of Public Policy and Marketing, and various other publications. He is a member of the editorial review board of theJournal of Marketing.     

Customer loyalty: Toward an integrated conceptual framework

Customer loyalty is viewed as the strength of the relationship between an individual’s relative attitude and repeat patronage. The relationship is seen as mediated by social norms and situational factors. Cognitive, affective, and conative antecedents of relative attitude are identified as contributing to loyalty, along with motivational, perceptual, and behavioral consequences. Implications for research and for the management of loyalty are derived. His research interests include consumer decision making, information processing, and consumer loyalty. He has published in theJournal of Consumer Research andAdvances in Consumer Research. His research interests are consumer information processing, persuasion cues in advertising, and international marketing. His articles have appeared in theJournal of Consumer Research, Journal of Marketing Research, Journal of Consumer Psychology, andCanadian Journal of Administrative Sciences as well as in a number of conference proceedings.     

Micro-level product-market dynamics: Shared knowledge and its relationship to market development

This work draws on consumer and psychology research to explain sociocognitive aspects of product-market dynamics at a higher level of specificity than prior research. The authors extend the field’s understanding of market-shaping shared knowledge through a theory-informed discussion of how shared product knowledge comes to exist and how it changes as product markets develop. They define shared knowledge as the aspects of product representations that are common across the minds of market actors, making it possible for them to understand one another. The authors also discuss ways to track shared knowledge content that is expressed in market narratives. As the characteristics of shared knowledge are explained and linked to stages of product-market development, the authors develop a set of researchable propositions to guide future research. The theoretical arguments and propositions in this article complement extant marketing strategy research by integrating individual-level consumer theory with market evolution models. José Antonio Rosa (jose.rosa@case.edu; Ph.D., University of Michigan) is an assistant professor of marketing at Case Western Reserve University. His research interests include product markets as sociocognitive phenomena, embodied knowledge in consumer and managerial sensemaking, consumer illiteracy and coping, commitment and motivation among members of network marketing organizations, and buying group satisfaction. His research has been published in marketing and management publications, including theJournal of Marketing and theAcademy of Management Journal. Before entering academia, he worked in the automotive and information systems industries. Jelena Spanjol (jspanjol@tamu.edu; Ph.D., University of Illinois) is an assistant professor of marketing at Texas A&M University. Her research interests include product market dynamics, product portfolio management, innovation, sensemaking, and organizational and managerial cognition in marketing strategy. Her research has been published in marketing and management publications, including theJournal of Marketing and several book chapters. Before academia, she worked in the scientific software industry.     

A measure of alienation from the marketplace

For the purpose of equipping researchers in marketing with a more sophisticated method to measure alienation in a marketing context, the authors have constructed and initially tested an alienation from the marketplace index. Alienation is defined in terms of Melvin Seeman's (1959) five basic variants of alienation: powerlessness, meaninglessness, normlessness, social isolation, and self-estrangement. After pretesting, two questions per variant of alienation remained as the operational measures of alienation from the marketplace. These questions focused specifically on marketing phenomenon. Test-retest reliability was tested with 35 paired observations. Validity was checked with survey data from 140 households. In terms of face or content validity, the questions met the criterion of “looking as if” they should indicate the corresponding dimensions of alienation. Correlations between the marketplace alienation items and a measure of general alienation established concurrent validity. The authors propose that the use of the marketplace alienation index in studies involving those who are affected by our country's business climate may prove useful. For example, one would hypothesize that increasing alienation from the marketplace would be associated with support of consumerist goals, or even of additional government legislation to control problems that the individual feels is uncontrollable by him because of the bigness and indifference of modern day enterprise. Pepsico, Inc.     

Globalization, marketing resources, and performance: Evidence from China

Two important areas are underexplored in the relationship between marketing resources and performance. First, the subject has been primarily investigated in the context of Western countries, and inadequate attention has been given to emerging economies. Second, despite the recent growth in globalization, the moderating role of globalization on the link between marketing resources and performance has not been investigated. Addressing these important gaps, this article focuses on an emerging economy (China) and explores the moderating effect of globalization on this link. Specifically, the authors develop several hypotheses highlighting the moderating role of globalization activities (global product sourcing, global market seeking, and global partnership) on the link between marketing resources (market orientation, entrepreneurial orientation, and innovative capability) and firm performance. The findings of the moderating role of globalization provide several important implications for marketing theory development and managerial practice. Xueming Luo (luoxm@uta.edu) is an assistant professor in the Department of Marketing in the College of Business Administration at the University of Texas at Arlington. Before joining the University of Texas at Arlington faculty, he was on the faculty of the State University of New York at Fredonia. His research has appeared in various journals, including theJournal of Business Research, the International Journal of Research in Marketing, the Journal of Advertising Research, the Journal of Interactive Advertising, and Industrial Marketing Management. K. Sivakumar (Ph.D., Syracuse University; k.sivakumar@lehigh. edu) is the Arthur Tauck Professor of International Marketing & Logistics and a professor of marketing at Lehigh University. Prior to joining Lehigh in 2001, he spent 9 years at the University of Illinois in Chicago. His research interests include pricing, global marketing, and innovation management. His research has been published or is forthcoming in theJournal of the Academy of Marketing Science, the Journal of Marketing, the Journal of International Business Studies, Decision Sciences Journal, Marketing Letters, the Journal of Business Research, International Marketing Review, the Journal of Product Innovation Management, Pricing Strategy & Practice: An International Journal, Psychology & Marketing, and other publications. He has won several awards for his research (including theDonald Lehman Award) and is on the editorial board of several scholarly journals. He has won outstanding reviewer awards from two journals. Sandra S. Liu (liuss@purdue.edu) is an associate professor in the Department of Consumer Sciences and Retailing at Purdue University. She received her Ph.D. from the University of London, and her current research interest focuses on strategic marketing issues in the context of customer contact, including knowledge management in a corporation in transition and sales management in a knowledge economy. With her extensive industry experience, she has written a number of books and journal articles, which have appeared in theInternational Journal of Research in Marketing, the Journal of Business Research, theEuropean Journal of Marketing, Marketing Intelligence and Planning, among others.     

Linking thoughts to feelings: Investigating cognitive appraisals and consumption emotions in a mixed-emotions context

While emotions have been shown to have significant influence on various consumer behaviors, the cognitive appraisals linked to consumption emotions have not been fully explored. This research investigates how individuals' cognitive interpretations of situations correspond to the emotions they experience in these contexts. Using analysis of variance and multiple discriminant analysis, our results show a systematic relationship between cognitive appraisals and 10 consumption emotions. The author's findings offer theoretical insights into these consumption emotions, the appraisal/consumption emotion correspondence, basisversus subordinate-level category differences in emotions, and mixed consumption emotions. The findings provide a practical framework for academics and practitioners interested in better understanding and managing consumption emotions. Julie A. Ruth (Ph.D., University of Michigan) is an assistant professor of marketing in the School of Business—Camden at Rutgers University. Her research interests include affect and emotions, consumer relationships, and consumer response to brand strategies such as brand alliances and sponsorships. Frédéric F. Brunel (Ph.D., University of Washington) is an assistant professor of marketing in the School of Management at Boston University. His research interests include consumer perceptions of product design and aesthetics, consumer attitude and affect, and gender and sociocultural issues in consumption. Cele C. Otnes (Ph.D., University of Tennessee) is an associate professor of business administration in the College of Commerce and Business Administration at the University of Illinois, Urbana. Her research interests include consumer rituals, affect and consumer ambivalence, and gift exchange.     

The home purchase process: Measurement of evaluative criteria through pairwise measures

Although the purchase of a home represents a sizable investment for the average family, relatively little consumer research pertaining to the home purchase process has been reported. This investigation utilized Thurstone's Case V methodology to identify key attributes used by consumers to make housing choices and to show how these attributes are perceived by consumers of different tenure and socioeconomic status. The pairwise comparison analysis showed a strong preference for the attributes “safety and security from crime” and “quality construction” by the respondents. In addition, the analysis revealed several important differences in attribute preferences between former owners and former renters. Former home owners, for example, were more likely than former renters to prefer school quality when it was pitted against several other attributes. Thurstone's Case V techniques was found to be an effective method for measuring consumer preferences. Implications which focus on home product development and marketing strategies are discussed.     

An empirical test of trust-building processes and outcomes in sales manager-salesperson relationships

This study examines three trust-building processes and outcomes in sales manager-salesperson relationships. This study, based on a sample of more than 400 business-to-business salespeoples from a variety of industries, shows two trust-building processes (predictive and identification) to be significantly related to salesperson trust in the sales manager. Interpersonal trust was found to be most strongly related to shared values and respect. Trust was directly related to job satisfaction and relationalism, and indirectly related to organizational commitment and turnover intention. Thomas G. Brashear (brashear@mktg.umass.edu) (Ph.D., Georgia State University) is an assistant professor of marketing in the Isenberg School of Management at the University of Massachusetts-Amherst. James S. Boles (jboles@gsu.edu) (Ph.D., Louisiana State University) is an associate professor of marketing in the Robinson College of Business at Georgia State University. His research has appeared in a variety of journals, including theJournal of Marketing, theJournal of Business Research, theJournal of the Academy of Marketing Science, theJournal of Retailing, theJournal of Personal Selling and Sales Management, and theJournal of Applied Psychology. His areas of research interest include personal selling, sales management, key and strategic account management, and business relationships. Danny N. Bellenger (mktdnb@langate.gsu.edu) (Ph.D., University of Alabama) is currently chairman of the Marketing Department in the Robinson College of Business at Georgia State University. His research has appeared in a number of academic journals including theJournal of Marketing Research, theJournal of Marketing, theJournal of Advertising Research, theCalifornia Management Review, theJournal of Retailing, theJournal of Personal Selling and Sales Management, Industrial Marketing Management, and theJournal of Business Research. He has authored four monographs and four textbooks on marketing research, sales, and retailing. Charles M. Brooks (brooks@quinnipiac.edu) (Ph.D., Georgia State University) is an associate professor and chair of the Department of Marketing and Advertising at Quinnipiac University. His research has appeared in theJournal of Business Research, theJournal of Retailing, Marketing Theory, and theJournal of Marketing Theory and Practice.     

Prediction of the Indian summer monsoon using a stacked autoencoder and ensemble regression model

The study of climatic variables that govern the Indian summer monsoon has been widely explored. In this work, we use a non-linear deep learning-based feature reduction scheme for the discovery of skilful predictors for monsoon rainfall with climatic variables from various regions of the globe. We use a stacked autoencoder network along with two advanced machine learning techniques to forecast the Indian summer monsoon. We show that the predictors such as the sea surface temperature and zonal wind can predict the Indian summer monsoon one month ahead, whereas the sea level pressure can predict ten months before the season. Further, we also show that the predictors derived from a combination of climatic variables can outperform the predictors derived from an individual variable. The stacked autoencoder model with combined predictors of sea surface temperature and sea level pressure can predict the monsoon (June-September) two months ahead with a 2.8% error. The accuracy of the identified predictors is found to be superior to the state-of-the-art predictions of the Indian monsoon.     

Killing off cohorts: Forecasting mortality of non-extinct cohorts with the penalized composite link model

Mortality forecasting has crucial implications for insurance and pension policies. A large amount of literature has proposed models to forecast mortality using cross-sectional (period) data instead of longitudinal (cohort) data. As a consequence, decisions are generally based on period life tables and summary measures such as period life expectancy, which reflect hypothetical mortality rather than the mortality actually experienced by a cohort. This study introduces a novel method to forecast cohort mortality and the cohort life expectancy of non-extinct cohorts. The intent is to complete the mortality profile of cohorts born up to 1960. The proposed method is based on the penalized composite link model for ungrouping data. The performance of the method is investigated using cohort mortality data retrieved from the Human Mortality Database for England & Wales, Sweden, and Switzerland for male and female populations.